1 to 4 of 4 Permanent Azure Synapse Analytics Jobs in Birmingham

cloud-based technologies to drive their data initiatives. You will play a critical role in guiding the team, developing curated business models, and utilizing Azure services to optimize our data infrastructure. Key Responsibilities Provide leadership, guidance, and support to team members, ensuring the successful execution of projects and tasks. … maintain curated business models to support accurate and insightful decision-making. Utilize SSRS, SSAS, and SSIS to design, develop, and implement robust reporting and analytics solutions. Conduct complex data analysis to identify trends, patterns, and insights that drive business improvement. Demonstrate expertise in Azure Synapse and Azure Data Factory/Lakes for data integration, orchestration, and management. Implement and optimize data pipelines for seamless and efficient data flow within the Azure ecosystem. Extract data from Dynamics to build and enhance curated business models in Synapse/PowerBI. Ensure data security, compliance, and best practices more »

JOB DESCRIPTION About The Role We are recruiting for a Senior Azure Data Engineer to join our growing consultancy. The Senior Azure Data Engineer is a key role within our Managed Services team. You will be working with like-minded, talented engineers across a range of clients, delivering … have made it our mission to build awesome systems that allow our customers to understand and get the most from their data. The Senior Azure Data Engineer will play a key role in all of this. Requirements of the Role Champion Infrastructure-as-code and automation in every aspect … t have one of the following please apply and we can discuss in more detail. Working experience of IaaS, PaaS and Serverless technologies on Azure and willing to develop knowledge of the other key Cloud providers; Working experience of CI/CD pipelines within Azure DevOps; Working experience more »

support business reporting requirements. The Head of Data Engineering will be involved from the very beginning of the project and will have experience of Azure Datalake and Databricks. Key responsibilities for the Head of Data Engineering Define and drive the data engineering strategy and technical roadmap in alignment with … cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. The Head of Data Engineering will be a remote based role with the need to go … Engineering experience, leading data engineering teams Proven track record of leading successful digital transformation initiatives involving data engineering and analytics. Significant hands-on Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI Strong in delivering solutions at scale, on time and within more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »